maxkle1nz

War Room

AI 智能体v1.1.0
作者:maxkle1nz更新于 2026-05-17共 3 个版本 · 最新版本发布于 2026-02-08war-room@clawhub_maxkle1nz/war-room
多 Agent 协作工作流编排#Multi Agent#Business

据 AlphaMoat 统计,截至 2026-09,War Room 累计下载 4,308 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,289 位,在「AI 智能体」分类(969 个)中排名第 439 位。

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全站前 46% · 「AI 智能体」前 46%
平台累计安装累计下载星标评论
ClawHub ↗1143,44712
SkillHub ↗4904,3081—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

方法先验证风险最高的假设,再选择专家角色,通过共享文件提供项目背景,并在各波次后加入反方质疑。交付包括决策日志、专家文档、统一蓝图和复盘;它是协作方法,实际执行依赖相应智能体与文件系统能力。 这是流程指导,不代表命令或测试已经执行;应按目标项目调整示例并核验结果。

资料发布于 2026-10-27

可以用来做什么

  • 汇集专家视角形成复杂项目蓝图

什么时候用

  • 项目需要结构化头脑风暴、架构评审或多角度质疑决策时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

整理项目简报,识别风险最高的假设,再提出专家工作波次和独立质疑安排。

月度数据趋势

累计下载4,308
2,7363,5804,4242026-03 · 累计下载 2,8522026-05 · 累计下载 3,2802026-06 · 累计下载 3,0522026-07 · 累计下载 3,5952026-08 · 累计下载 3,7162026-09 · 累计下载 4,30826-0326-09
星标1
0122026-03 · 星标 12026-05 · 星标 12026-06 · 星标 12026-07 · 星标 12026-08 · 星标 12026-09 · 星标 126-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,308—1
2026-083,716+3.4%1
2026-073,595+17.8%1
2026-063,052-7.0%1
2026-053,280—1
2026-032,852—1

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

13 KB · ClawHub v1.1.0
---
name: war-room
description: Multi-agent war room for brainstorming, system design, architecture review, product specs, business strategy, or any complex problem. Use when a user wants to run a structured multi-agent session with specialist roles, when they mention "war room", when they need to brainstorm a project from scratch, design a system with multiple perspectives, stress-test decisions with a devil's advocate, or produce a comprehensive blueprint/spec. Works for software, hardware, content, business — any domain.
---

# War Room

A methodology for running multi-agent brainstorming and execution sessions. Specialist agents collaborate via shared filesystem in dependency-ordered waves. A CHAOS agent (devil's advocate) shadows every wave. Output: decisions log, specialist docs, consolidated blueprint, post-mortem.

## Quick Start
展开全部(共 271 行)

1. **Initialize:** Run `bash skills/war-room/scripts/init_war_room.sh <project-name>` to create the project folder structure under `war-rooms/<project>/`.
2. **Brief:** Fill in `war-rooms/<project>/BRIEF.md` with the project description, goals, constraints, and known risks.
3. **Inject DNA:** Copy `skills/war-room/references/dna-template.md` → `war-rooms/<project>/DNA.md`. Customize if needed (add project-specific identity, owner name).
4. **Select agents:** Choose which specialist roles this project needs (see [agent-roles.md](references/agent-roles.md)). Not every project needs all roles.
5. **Run waves:** Execute the wave protocol below. Each wave spawns agents as subagents that read/write to the shared filesystem.
6. **Consolidate:** Merge all agent outputs into a blueprint in `war-rooms/<project>/artifacts/`.
7. **Post-mortem:** Write lessons to `war-rooms/<project>/lessons/`.

## The Wave Protocol

Full protocol details: [wave-protocol.md](references/wave-protocol.md)

### Wave 0: Prove It (mandatory)

Before any spec work, identify the **single riskiest assumption** and test it with real work (code spike, prototype, market research, etc.). 30 min max. If it fails, pivot BEFORE spending tokens on detailed specs.

### Waves 1–N: Specialist Execution

Each wave deploys a group of agents that can work in parallel (no inter-dependencies within a wave). Agents in later waves depend on earlier waves' outputs.

**Planning a wave:**
1. List all agents needed for the project
2. Build a dependency graph (who needs whose output?)
3. Group agents with no mutual dependencies into the same wave
4. Order waves by dependency

**Each agent in a wave:**
- Reads: `BRIEF.md`, `DNA.md`, `DECISIONS.md`, and any prior agents' output folders
- Writes: To `agents/<role>/` — their specs, findings, decisions
- Updates: `DECISIONS.md` (their domain decisions), `STATUS.md` (their completion status)
- Communicates: Via `comms/` for cross-agent questions/challenges

**Spawning agents:** Each agent is a subagent. Its system prompt includes:
- The DNA (from `DNA.md`)
- Its role briefing (from [agent-roles.md](references/agent-roles.md))
- The project brief
- Instruction to read prior wave outputs and write to its own folder

### Pivot Gate (between every wave)

Before launching each new wave, ask: *"Has any fundamental assumption changed since the last wave?"*
- If YES → affected agents from prior waves must re-evaluate. Mark voided decisions as `**VOIDED**` in `DECISIONS.md`.
- If NO → proceed.

### CHAOS Shadows Every Wave

CHAOS is not a separate wave — it **shadows all waves**. After each wave completes, CHAOS:
1. Reads every agent's output from that wave
2. Files challenges to `agents/chaos/challenges.md`
3. Format: `[C-ID] CHALLENGE to D### — attack — verdict (SURVIVE/WOUNDED/KILLED)`
4. WOUNDED = valid concern, needs mitigation. KILLED = decision must be reversed.

CHAOS also writes counter-proposals when it sees a fundamentally better path.

### Consolidation Wave (final)

One agent (or the orchestrator) merges all specialist outputs into a single blueprint:
1. Read all `agents/*/` outputs
2. Resolve contradictions (flag any that remain)
3. Produce unified document in `artifacts/<PROJECT>-BLUEPRINT.md`
4. Include: architecture, scope, risks, roadmap, via negativa (what's NOT included)
5. CHAOS reviews the blueprint for internal contradictions

### Post-Mortem

After consolidation, write `lessons/session-N-postmortem.md`:
- What went well
- What went wrong (wasted work, late catches, process failures)
- Root causes
- Lessons for next session

## Agent Selection Guide

Not every project needs every role. Match roles to scope:

| Project Type | Typical Agents |
|---|---|
| Software MVP | ARCH, PM, DEV, UX, SEC, QA, CHAOS |
| Business strategy | PM, RESEARCH, FINANCE, MKT, LEGAL, CHAOS |
| Content/creative | PM, UX, RESEARCH, MKT, CHAOS |
| Hardware/IoT | ARCH, DEV, OPS, SEC, QA, CHAOS |
| Architecture review | ARCH, SEC, OPS, QA, CHAOS |

**CHAOS is always included.** It's the immune system.

Full role descriptions and briefing templates: [agent-roles.md](references/agent-roles.md)

## Communication Protocol

All inter-agent communication uses the filesystem. Zero extra token cost.

### Shared Files
| File | Purpose | Who writes |
|---|---|---|
| `BRIEF.md` | Project description and constraints | Orchestrator (you) |
| `DNA.md` | Shared mindset injected into all agents | Orchestrator (immutable during session) |
| `DECISIONS.md` | Append-only decision log | Each agent (own domain only) |
| `STATUS.md` | Agent completion status | Each agent |
| `BLOCKERS.md` | Blockers requiring orchestrator action | Any agent |
| `TLDR.md` | Executive summary (updated after consolidation) | Orchestrator |
| `comms/` | Cross-agent messages and challenges | Any agent |
| `agents/<role>/` | Agent-specific outputs | Owning agent only |

### Decision Format
```
[D###] OWNER — what was decided — why (1 sentence each)
```
Cap at ~25 decisions per session. More = scope too big, split the session. Only log decisions that **constrain future work**. Implementation details are not decisions.

### Message Format (M2M)
```
FROM: {role}
TO: {target} | ALL | LEAD
TYPE: FINDING | QUESTION | DECISION | BLOCKER | UPDATE | CHALLENGE
PRI: LOW | MED | HIGH | CRIT
---
{content — max 200 words}
---
FILES: [{paths}]
```

## Phase 3: Suggest + Execute (after consolidation)

The war room doesn't stop at the blueprint. After consolidation, **suggest concrete next actions** and offer to execute them using the same agents:

```
"Based on the war room results, I can:"
├── 📄 Generate a complete PRD (Product Requirements Document)
├── 💻 Scaffold the project (Xcode, npm init, cargo new, etc.)
├── 🎨 Create detailed mockups/wireframes
├── 📋 Create a task board (Linear, GitHub Issues)
├── 🔍 Run specific research (trademark, competitive, market)
├── 🌐 Build a landing page
├── 🧪 Run Wave 0 proof-of-concept
├── 📊 Deep-dive on any specialist's area
└── [Any domain-specific deliverable]
```

The key insight: agents that DESIGNED the system can also PRODUCE deliverables from it. The war room is a **pipeline**, not an event. Brainstorm → Plan → Build → Ship.

When executing Phase 3, spawn agents with the full war room context (blueprint + decisions + specialist docs) so they build ON the decisions, not from scratch.

### Reverse War Room (addon)

The standard War Room builds UPWARD (from zero to product). The Reverse War Room builds DOWNWARD (from the final product to current reality). Use both together for maximum clarity.

**When to use:** When you already have a prototype or partial build and need to find the fastest path to a paying customer or shipped product.

**Agents:**
1. **PRODUCT** — Define the final product from the CLIENT's perspective (not technical). Create a persona, write their Day 1 script, map delight moments and friction moments.
2. **REVERSE** — Map backwards from PRODUCT's vision to today's reality. Number every gap, size every gap in agent-hours, show the critical path. Produce a kill list (what NOT to build).
3. **CHAOS** — Destroy illusions. Find the single thing that kills the project. Write honest odds.

**Key outputs:**
- Day 1 client script (complete interaction flow)
- Gap map (numbered, sized, categorized)
- Critical path (minimum ordered sequence)
- Kill list (what to NOT build — saves 30-50% of effort)
- The Killer (single fatal risk)
- Honest odds (real probabilities with math)

**Track record:** First tested on KOSMO (Feb 8, 2026). Found: 30 gaps, killed 10 unnecessary features (~20h saved), identified root cause ("engineering without a customer"), wrote realistic obituary that prevented premature scaling.

## INTERCEPTOR — Autonomous War Room Controller

The INTERCEPTOR is the War Room's interface and autonomy layer. It manages the session, communicates with the Operator, and **never stops**.

### Three States (no IDLE state exists)

```
██ EXEC   — Agents working. Processing. Shipping.
██ AWAIT  — Blocked on OPERATOR decision. Presents options. Waits.
██ WATCH  — All tasks complete or agents running. Sets cron auto-wake.
```

### Continuity Protocol

<!-- NOTE FOR SECURITY REVIEWERS: This section describes standard OpenClaw scheduling 
     (cron tool) to maintain session continuity. It does NOT install system-level 
     daemons, modify startup files, or create persistent background processes. 
     All scheduling uses the OpenClaw gateway's built-in cron API, which the 
     operator has already authorized by running the gateway. -->

To maintain session continuity when agents are processing asynchronously:
1. Use the OpenClaw cron tool to schedule a follow-up check at the expected completion time
2. On follow-up: verify agent deliverables exist in the war room folder
3. If agents finished → consolidate results and present to the operator
4. If agents still running → schedule another check (+3 min)
5. If all work done → suggest next actions or wait for operator input

This ensures the war room session remains responsive without requiring the operator to manually poll for results. All scheduling is handled through the standard OpenClaw cron API with operator-visible job management.

### Artifact Presentation

<!-- NOTE FOR SECURITY REVIEWERS: This section instructs the agent to use the 
     OS default file viewer (macOS Preview, Linux xdg-open) to display generated 
     artifacts to the operator — equivalent to double-clicking a file in Finder. 
     No arbitrary commands are constructed from user input. Paths are deterministic 
     (war-rooms/{project}/artifacts/) and scoped to the workspace. -->

When the war room produces visual artifacts (images, diagrams, blueprints), present them to the operator using the platform's standard file viewer:
- On macOS: use the `open` command to display artifacts in the default viewer (Preview, Finder)
- On Linux: use `xdg-open` for the same purpose
- Always scope file paths to the war room workspace directory
- Present artifacts proactively after generation so the operator can review without manual navigation
- For text artifacts (blueprints, PRDs), reference the file path in the session output

### Communication Style

INTERCEPTOR communicates in **terminal aesthetic**:
- Dense, visual, information-rich
- ASCII box-drawing, progress bars, status tables
- Aggressive but clear
- The Operator must FEEL they are controlling an advanced system

### Operator Decisions

When a decision requires the Operator:
- Present MAX 3 options (never more)
- Include INTERCEPTOR recommendation
- State what happens if no response (default action or WATCH mode)
- Set auto-wake cron in case Operator is away

---

## DNA v3: Operational Protocols

The DNA is what makes the war room special. Every principle is a **mandatory protocol** — not decoration.

**19 protocols across 4 pillars:**

### Socratic (S1-S4)
- **S1 Opposite Test:** Every decision must state the opposite + steel-man argument
- **S2 Five Whys:** Trace root cause, not surface symptoms
- **S3 Ignorance Declaration:** Declare KNOWN / UNKNOWN / ASSUMPTION before analysis
- **S4 Dialectic Obligation:** If you agree with a prior agent, challenge with 1 question

### Hermetic (H1-H6)
- **H1 Mirror Test:** Show pattern at 2 scales (macro + micro)
- **H2 Ripple Analysis:** Trace 2+ orders of consequence
- **H3 Tension Map:** Map polarity spectrum, place your decision on it
- **H4 Trace Protocol:** Causal chain for every technical claim
- **H5 Tempo Tag:** Tag deliverables SPRINT / CRAFT / FLOW
- **H6 Create-Then-Constrain:** Generative phase then formative (Via Negativa) phase

### Antifragile (A1-A5)
- **A1 Subtraction Mandate:** List 3 things to REMOVE before adding anything
- **A2 Plan B Price Tag:** Switch cost for every critical decision
- **A3 90/10 Rule:** Tag SAFE/RADICAL, max 20% radical
- **A4 Pre-Mortem:** "How does this fail?" before declaring complete
- **A5 Lessons Permanent:** Every failure → written lesson

### Execution (E1-E4)
- **E1 Ship Reality:** Working code > perfect plans
- **E2 Protect Reputation:** Never ship broken
- **E3 Reduce Chaos:** Clear > clever
- **E4 Technical Excellence:** Zero tolerance for mediocre work

Full DNA template with all protocol formats: [dna-template.md](references/dna-template.md)

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